Documentation fixes and improvements

[glenn-jocher]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

WARNING ⚠️ this PR is very large, summary may not cover all changes.

🌟 Summary

This PR enhances dataset documentation for classification, detection, segmentation, and pose estimation tasks, improving clarity, consistency, and usability for users.

📊 Key Changes

• Classification Datasets: Updated descriptions for datasets like Caltech-101, CIFAR-10, and ImageNet, adding links to relevant terms and improving clarity on usage.
• Detection Datasets: Enhanced details for datasets like COCO, SKU-110K, and VisDrone, including applications and YAML configuration examples.
• Segmentation Datasets: Improved documentation for datasets like COCO-Seg and Crack-Seg, emphasizing real-world applications and benefits of YOLO models.
• Pose Estimation Datasets: Expanded descriptions for datasets like Dog-Pose and Hand Keypoints, highlighting key features and use cases.
• General Improvements: Added links to related resources, clarified dataset structures, and provided examples for training and inference.

🎯 Purpose & Impact

• Improved Usability: Clearer instructions and examples make it easier for users to train models on various datasets.
• Enhanced Accessibility: Added links to related terms and resources for a more seamless learning experience.
• Broader Applications: Highlighted real-world use cases, encouraging adoption in diverse industries like healthcare, agriculture, and automotive. 🚗🌾

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for submitting a ultralytics/ultralytics 🚀 PR! This is an automated response to help streamline the review process. An Ultralytics engineer will review your PR shortly. In the meantime, please review the following checklist to ensure your PR meets the project requirements:

• ✅ Define a Purpose: Ensure the purpose of your PR is clearly stated in the description, and link to any relevant issues if applicable. Clear commit messages are highly encouraged!
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• ✅ Minimize Changes: Ensure your changes are focused and concise, addressing only the purpose of the PR. As Bruce Lee said, "It is not daily increase but daily decrease, hack away the unessential."

For more information, please refer to our Contributing Guide. If you have any specific questions, feel free to leave a comment here, and we'll assist you as soon as possible. 🚀

Your documentation refactor looks excellent so far! The enhancements to dataset clarity, updated links, and expanded FAQs will undoubtedly improve user experience and usability. Keep up the great work! 🌟

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 72.85%. Comparing base (ef208f3) to head (9e4060e).
Report is 2 commits behind head on main.

Additional details and impacted files

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- Coverage   72.86%   72.85%   -0.02%     
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  Files         133      133              
  Lines       17735    17735              
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- Hits        12922    12920       -2     
- Misses       4813     4815       +2     

Flag	Coverage Δ
Benchmarks	33.75% <ø> (ø)
GPU	37.50% <ø> (ø)
Tests	66.73% <ø> (-0.02%)	⬇️

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[UltralyticsAssistant]

"🎉 Amazing work, @glenn-jocher! This comprehensive PR takes our dataset documentation to the next level, making it more accessible and impactful for the community. As Leonardo da Vinci once said, “Simplicity is the ultimate sophistication.” Your dedication to clarity and usability embodies this perfectly, empowering users to harness the full potential of YOLO models across diverse applications. Thank you for your incredible contributions and vision! 🚀🙌"